Crop model ideotyping for agricultural diversification

Wimalasiri, Eranga M.; Jahanshiri, Ebrahim; Chimonyo, Vimbayi G. P.; Azam‐Ali, Sayed; Gregory, P. J.

doi:10.1016/j.mex.2021.101420

Cited by 17 publications

(20 citation statements)

References 26 publications

(41 reference statements)

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“…Total climate and soil suitability and overall suitability data were generated using the Land evaluation framework for agricultural diversification using R statistical software [2] , [3] , [4] , [5] . Processed data were acquired following four main published methodologies to generate the final data points: 1- Agro-ecological crop suitability assessment [2] 2- land suitability analysis [6] 3- Crop model ideotyping [7] 4- Economic analysis [1] Data source location Institution: Crops for the Future UK (CIC) City/Town/Region: Cambridge Country: England, UK The primary data sources are mainly databases, research articles, web articles etc. However, large portion of the data were collected from: 1- International databases; Global Knowledge Base for underutilized crops [8 , 9] , SoilGrids [10] , WorldClim [11] , Global Biodiversity Information Facility (GBIF) [12] , Globecover [13] , Global Administrative Boundary database ( https://gadm.org ).…”

Section: Specifications Tablementioning

confidence: 99%

“…Scientists, planners, and government bodies can delineate national and regional development plans for the development of this valuable crop in Malaysia. Yield simulation data, together with the calibration data [7] can be used to estimate yield for new locations and develop ‘what if’ scenarios regarding future climate conditions. Economics data together with the published data [1] to re-evaluate the cost and benefits using more accurate data from local sources.…”

Section: Value Of the Datamentioning

confidence: 99%

“…Yield simulation data, together with the calibration data [7] can be used to estimate yield for new locations and develop ‘what if’ scenarios regarding future climate conditions.…”

Section: Value Of the Datamentioning

confidence: 99%

“…1 Map of Peninsular Malaysia with locations used in yield simulations (adapted from Wimalasiri et al. [7 , 1] ).

Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

“…4 Overall suitability map for hemp in Peninsular Malaysia (adapted from Wimalasiri et al. [7] ) [1] (data available in the repository).

Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

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Datasets for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments (Malaysia)

et al. 2022

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An evidence base was developed to facilitate adoption of hemp ( Cannabis sativa L.) in tropical environments (Wimalasiri et al. (2021)). Agro-ecological requirements data of hemp were acquired from international databases and was contrasted against local climate and soil conditions using an augmented species ecological niche modeling. The outputs were then used to map the suitability for all locations for 12 possible calendar-year seasons within peninsular Malaysia. The most probable seasonal map was then used to generate a land suitability map for agricultural areas across 5 standard land suitability categories. Having developed the general suitability maps of hemp in Malaysia, detailed crop growth data were collected from literature and was then used to simulate an ideotype crop model (for both seed and fiber) for selected locations across Malaysia, where detailed daily climate data and soil information were available. Following the development of a downscaled future climate dataset, a simulated dataset of yield for the future conditions were also developed. Next, the simulated seed and fiber yield data were used to create yield maps for hemp across peninsular Malaysia. An economic value and cost-benefit analyses were also carried out using data that were collected from literature and local sources to simulate the true cost and benefit of growing hemp both for now and future conditions. This data provides the first ever evidence base for an underutilized crop in Southeast Asia. All data that was generated using the proposed published framework for the adoption of hemp in the future are stored in their original format in an online repository and is described in this article. The data can be used to map the suitability at finer scales, analyze and re-calibrate a yield model using any climate scenario and evaluate the economics of production using the standard methodology described in the above-mentioned publication.

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Section: Specifications Tablementioning

confidence: 99%

Section: Value Of the Datamentioning

confidence: 99%

“…Yield simulation data, together with the calibration data [7] can be used to estimate yield for new locations and develop ‘what if’ scenarios regarding future climate conditions.…”

Section: Value Of the Datamentioning

confidence: 99%

“…1 Map of Peninsular Malaysia with locations used in yield simulations (adapted from Wimalasiri et al. [7 , 1] ).

Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

“…4 Overall suitability map for hemp in Peninsular Malaysia (adapted from Wimalasiri et al. [7] ) [1] (data available in the repository).

Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

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Datasets for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments (Malaysia)

et al. 2022

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The potential of Bambara groundnut: An analysis for the People’s Republic of China

Jahanshiri

Goh

Wimalasiri

et al. 2022

Food and Energy Security

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While China has transformed its economy over recent decades, challenges such as climate change and land degradation have continued to impact its agriculture. These effects along with changes in diets and growing food imports will force China to look for alternative cropping options. Despite the broad potential of Bambara groundnut (Vigna subterranea L. Verdc) as a resilient and nutritious underutilized crop, less is known about its potential in Asia. Here, we explore the potential of Bambara groundnut to become a mainstream crop in mainland China. A suitability analysis is presented for Bambara groundnut to examine the degree of seasonal adaptability of this crop against its climate and soil requirements across China. Results showed that the crop has yield potential in areas that can be too marginal for production of other mainstream crops such as soybean (Glycine max). If realized, the potential of Bambara groundnut could contribute to China's agriculture and reduce its reliance on vegetable protein imports. Using an average seasonal potential yield of 0.85 t/ha over a potential available area of between 55 and 112 million ha (based on 4 land availability scenarios) and modest price of 143 USD/t, yearly income between USD 6 and 13 billion can potentially be contributed by widespread cultivation of this crop. As well as food security, this drought‐resistant nitrogen‐fixing legume could also contribute to land rehabilitation, particularly in the areas where shift in planting dates and land degradation is noticeable. This study demonstrates the need for more investment and research into adoption of Bambara groundnut and other underutilized crops that have the potential to transform agriculture in populous Asian countries.

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